Predicting outcome after traumatic brain injury: practical prognostic models based on large cohort of international patients

By Pablo Perel, M. Arango, T. Clayton, P. Edwards, E. Komolafe, Stuart Poccock, I. Roberts, H. Shakur, Ewout W. Steyerberg, Surakrant Yutthakasemsunt. British medical journal, 2008

1,175 citations recorded by the source corpus.

Subfields: Emergency Medicine, Epidemiology, Neurology

View Paper: https://www.semanticscholar.org/paper/059418e471cf45f7d2a2d8d7ae9f79dc871605a0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Emergency Medicine

1. Ewout W. Steyerberg
2. Douglas G. Altman
3. Karel G. M. Moons
4. Andrew I. R. Maas

In Epidemiology

1. Karel G. M. Moons
2. Douglas G. Altman
3. Ewout W. Steyerberg
4. R. Riley
5. Gary S. Collins
6. Andrew I. R. Maas
7. Johannes B Reitsma
8. Y. Vergouwe

In Neurology

1. Ewout W. Steyerberg
2. Douglas G. Altman
3. Karel G. M. Moons
4. Andrew I. R. Maas

Citations in the corpus

• Prognosis Research Strategy (PROGRESS) 3: Prognostic Model Research (2013, methodology): “CRASH/IMPACT 6 month outcome after traumatic brain injury (n = 10 008 for CRASH, n = 8530 for IMPACT) [43] Cross-validation of CRASH on IMPACT and vice versa [43] Cited as source of prognostic risk estimation [7].”
• Predicting Outcome after Traumatic Brain Injury: Development and International Validation of Prognostic Scores Based on Admission Characteristics (2008, methodology): “This RCT was used to develop a series of prediction models with a specific focus on non-Western countries [14].”